May 2019
Beginner to intermediate
266 pages
5h 57m
English
Content preview from Hands-On Exploratory Data Analysis with R
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Levene's test
Levene's test checks are used to understand homogeneous variances in attributes in relation to the data frame mentioned and the null hypothesis test is used to verify the fact that all variances are equal. A resulting p-value that is calculated as being under 0.05 using this test means that variances are not equal and further parametric analysis tests, such as ANOVA, are not considered appropriate.
This test is usually preferred with normally distributed data, but it can also tolerate a comparatively low deviation from normality.
The corresponding function in R is as follows:
leveneTest(dataset~groups, data=dataframe)
Here, the parameters refer to the following:
- dataset: The vector containing the numerical data
- groups: The ...
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